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I
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N:
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Th
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th
e
d
ec
is
io
n
-
m
a
k
i
n
g
m
o
d
els
is
ap
p
lied
[
5
-
6
]
,
[
1
0
]
.
T
h
is
m
o
d
el
g
i
v
es
b
e
tter
r
esu
lt
s
f
o
r
th
e
s
to
ck
m
ar
k
et
cu
r
r
e
n
t
s
tate
a
s
s
e
s
s
m
en
t
as
co
m
p
ar
ed
to
th
e
f
a
m
o
u
s
a
n
al
y
tical
m
o
d
el
s
.
T
h
e
p
r
ed
ictio
n
p
r
o
b
lem
o
f
t
h
e
s
to
ck
m
ar
k
et
s
tate
is
ac
t
u
al
a
n
d
v
er
y
i
m
p
o
r
ta
n
t p
r
o
b
lem
.
T
h
i
s
p
r
o
b
lem
is
n
o
t
s
o
lv
ed
i
n
co
n
d
itio
n
s
o
f
u
n
ce
r
tai
n
t
y
;
d
esp
ite
t
h
er
e
ar
e
m
an
y
s
tu
d
ie
s
i
n
t
h
is
f
ield
o
f
r
e
s
ea
r
ch
.
Fi
n
d
a
g
o
o
d
m
at
h
e
m
a
tica
l
m
o
d
el
is
n
o
t
p
o
s
s
ib
le.
T
h
er
e
is
o
n
l
y
o
n
e
o
p
tio
n
to
d
ev
elo
p
m
o
d
els
b
ased
o
n
th
e
k
n
o
w
led
g
e
ac
tiv
atio
n
f
r
o
m
t
h
e
s
p
ec
iali
s
ts
’
ex
p
er
ts
.
T
h
e
im
p
o
r
tan
ce
o
f
t
h
e
s
to
c
k
m
ar
k
et
s
tate
ass
e
s
s
m
e
n
t
p
r
o
b
le
m
is
d
ef
i
n
ed
b
y
th
e
f
ac
t
t
h
at
R
u
s
s
ia
is
p
ar
t
o
f
th
e
g
lo
b
al
f
in
a
n
c
ial
m
ar
k
et
s
y
s
te
m
;
it
h
as
a
n
i
n
ter
n
atio
n
al
cr
ed
it
r
ati
n
g
.
T
h
e
p
r
ed
ictio
n
p
r
o
b
lem
o
f
p
r
ice
d
y
n
a
m
ic
s
is
p
ar
ticu
lar
l
y
r
elev
a
n
t
f
o
r
R
u
s
s
ia
at
t
h
e
m
o
m
e
n
t.
No
w
th
e
R
u
s
s
ia
n
s
to
ck
m
ar
k
e
t
is
d
ev
elo
p
in
g
w
ell,
t
h
er
ef
o
r
e
it
i
s
n
ec
e
s
s
ar
y
to
u
s
e
m
o
d
els
a
n
d
p
r
o
g
r
am
f
o
r
i
n
f
o
r
m
a
tio
n
s
u
p
p
o
r
t
f
o
r
in
v
e
s
t
m
en
ts
p
lan
n
i
n
g
.
I
n
v
e
s
t
m
en
t p
lan
n
in
g
d
ep
en
d
s
o
n
th
e
m
ar
k
et
s
i
tu
at
i
o
n
s
an
al
y
s
is
.
2.
P
RE
DIC
T
I
O
N
CRI
T
E
RIA
F
O
R
T
H
E
S
T
O
CK
M
ARK
E
T
T
h
er
e
ar
e
f
o
u
r
g
r
o
u
p
s
o
f
p
r
ed
ictio
n
m
e
th
o
d
s
i
n
th
e
s
to
ck
m
a
r
k
et:
T
ec
h
n
ical
p
r
ed
ictio
n
m
et
h
o
d
[
1
1
]
;
f
u
n
d
a
m
en
ta
l
p
r
ed
ictio
n
m
et
h
o
d
[
1
2
]
;
m
et
h
o
d
s
b
ased
o
n
th
e
g
a
m
b
lin
g
ap
p
r
o
ac
h
;
in
tel
lig
e
n
t
m
et
h
o
d
f
o
r
p
r
ed
ictio
n
in
th
e
s
to
ck
m
ar
k
et
[
1
3
]
.
T
h
e
tech
n
ica
l
p
r
ed
ictio
n
m
et
h
o
d
s
u
s
e
th
e
tech
n
ical
in
d
icato
r
s
f
o
r
a
n
al
y
s
is
an
d
p
r
ed
ictio
n
th
e
s
to
ck
m
ar
k
et
s
ta
te.
Ho
w
ev
er
,
d
u
r
i
n
g
t
h
e
e
x
p
er
ien
ce
i
t
w
a
s
s
h
o
w
ed
t
h
at
t
h
e
tech
n
ical
an
a
l
y
s
i
s
d
o
es
n
o
t
g
i
v
e
ef
f
ec
tiv
e
r
es
u
lt
s
[
4
]
.
Fu
n
d
am
en
tal
an
al
y
s
is
is
b
ased
o
n
th
e
p
r
ed
ictio
n
o
f
th
e
p
r
ices
b
eh
av
io
u
r
.
W
h
en
p
er
f
o
r
m
in
g
f
u
n
d
a
m
e
n
tal
a
n
al
y
s
i
s
E
x
p
er
t
ap
p
ea
r
s
.
T
h
e
ex
p
er
t
m
u
s
t
b
e
s
p
ec
ializin
g
i
n
th
e
g
lo
b
al
ec
o
n
o
m
y
.
E
x
p
er
t's
ex
p
er
ie
n
ce
ap
p
lied
to
cr
ea
te
in
telli
g
en
t
m
e
th
o
d
s
f
o
r
p
r
ed
ictio
n
in
t
h
e
s
to
c
k
m
ar
k
et.
I
n
f
ac
t,
th
e
in
telli
g
e
n
t
m
et
h
o
d
s
ar
e
u
s
i
n
g
t
h
e
tec
h
n
ical
a
n
d
f
u
n
d
a
m
e
n
tal
an
al
y
s
is
,
alt
h
o
u
g
h
th
e
ex
p
er
ts
ca
n
ca
r
r
y
o
u
t
i
t
o
n
a
s
u
b
co
n
s
c
io
u
s
le
v
el.
T
h
e
n
u
m
er
o
u
s
e
x
p
er
ien
ce
s
f
o
r
ex
p
er
t
s
allo
w
m
a
k
i
n
g
t
h
e
r
ig
h
t d
ec
is
io
n
s
.
T
h
e
cr
iter
ia
an
aly
s
is
o
f
tech
n
i
ca
l
an
d
f
u
n
d
a
m
e
n
tal
m
e
th
o
d
s
o
f
p
r
ed
ictio
n
w
a
s
p
er
f
o
r
m
ed
an
d
s
o
m
e
ex
a
m
p
le
s
o
f
t
h
eir
ap
p
licatio
n
w
er
e
s
h
o
w
n
.
First o
f
all,
let
’
s
s
ee
tr
y
f
o
r
p
r
ed
ictin
g
b
y
u
s
in
g
co
r
r
elatio
n
an
al
y
s
i
s
(
th
e
w
o
r
k
o
f
s
cie
n
ti
s
ts
u
n
d
er
th
e
au
s
p
ices
o
f
t
h
e
W
o
r
ld
B
an
k
an
d
t
h
e
I
MF
[
1
4
]
)
;
tr
en
d
ex
t
r
ap
o
latio
n
m
et
h
o
d
s
:
th
e
m
o
v
i
n
g
av
er
a
g
e
m
eth
o
d
,
e
x
p
o
n
en
t
ial
s
m
o
o
th
i
n
g
m
et
h
o
d
,
m
et
h
o
d
o
f
tr
en
d
co
r
r
elatio
n
p
ar
ab
o
lic
[
1
5
]
.
T
h
e
m
o
s
t
co
m
m
o
n
l
y
u
s
ed
co
r
r
elatio
n
an
al
y
s
is
to
ev
al
u
ate
t
h
e
s
to
ch
ast
ic
r
elatio
n
s
b
et
w
ee
n
t
h
e
d
if
f
er
en
t
g
lo
b
al
s
to
ck
m
ar
k
e
ts
.
T
h
e
co
r
r
elatio
n
a
n
al
y
s
is
m
e
th
o
d
s
ar
e
u
s
ed
m
o
s
t
o
f
te
n
,
b
u
t
t
h
e
s
e
m
eth
o
d
s
ar
e
in
e
f
f
ec
ti
v
e
i
n
n
o
n
-
s
tat
io
n
ar
y
co
n
d
itio
n
s
a
n
d
n
u
m
er
o
u
s
u
n
co
n
tr
o
lled
d
is
t
u
r
b
an
ce
s
i
n
th
e
s
ec
u
r
it
ies
m
ar
k
et.
T
o
d
escr
ib
e
th
e
s
to
ck
m
ar
k
et
cu
r
r
en
t
s
t
a
te,
t
h
e
f
o
llo
w
i
n
g
s
it
u
atio
n
s
w
er
e
i
n
tr
o
d
u
ce
d
:
s
tab
le;
tr
an
s
ie
n
t;
m
ar
k
et
g
r
o
w
th
;
u
n
s
t
ab
le;
s
tag
n
atio
n
.
E
ac
h
o
f
th
e
s
it
u
atio
n
s
ca
n
b
e
d
eter
m
i
n
ed
b
y
ap
p
l
y
in
g
t
h
e
f
o
ll
o
w
i
n
g
cr
iter
ia
(
ch
ar
ac
ter
i
s
tic
f
ac
to
r
s
)
:
T
h
e
av
er
ag
e
ch
a
n
g
e
i
n
p
r
ices
o
f
a
s
to
c
k
s
et
(
i
n
d
ex
)
,
f
o
r
ex
a
m
p
le,
SP
5
0
0
,
NA
SD
A
Q,
R
T
S,
MI
C
E
X
a
n
d
th
e
o
th
er
;
T
h
e
cu
r
r
en
t tr
an
s
ac
t
io
n
s
v
o
lu
m
e
(
tr
ad
in
g
v
o
lu
m
e
i
n
d
icato
r
s
)
;
Vo
latilit
y
,
f
o
r
ex
a
m
p
le,
t
h
e
VI
X
in
d
ex
o
r
R
T
SVX
f
o
r
R
T
S;
T
h
e
s
to
ck
m
ar
k
e
t c
ap
italizatio
n
(
m
o
n
e
tar
y
v
o
l
u
m
e)
;
T
h
e
o
il p
r
ice.
T
h
ese
f
ac
to
r
s
ar
e
b
ased
o
n
th
e
e
x
ch
a
n
g
e
tr
ad
in
g
d
ata
i
n
th
e
s
to
ck
m
ar
k
e
t
an
d
d
eter
m
i
n
ed
o
n
h
eu
r
i
s
tic
f
o
r
m
u
las.
T
h
e
R
u
s
s
ia
n
Fed
er
atio
n
s
to
c
k
m
ar
k
et
u
s
ed
t
w
o
m
aj
o
r
ex
ch
an
g
e
in
d
e
x
es
-
MI
C
E
X
[
1
6
]
an
d
R
T
SI
[
1
7
]
.
T
h
ese
in
d
icato
r
s
s
h
o
w
t
h
e
av
er
ag
e
tr
ad
in
g
f
o
r
t
h
e
m
o
s
t
liq
u
id
s
h
a
r
es
o
f
th
e
MI
C
E
X
-
R
T
SI
R
u
s
s
ian
s
to
ck
ex
ch
a
n
g
es.
Mo
r
eo
v
er
,
th
e
R
T
S
in
d
ex
to
d
a
y
is
t
h
e
s
ec
o
n
d
m
o
s
t
i
m
p
o
r
ta
n
t
in
d
icato
r
.
T
h
e
in
d
ices
d
ata
s
h
o
w
s
th
e
cu
r
r
e
n
t
s
ta
tu
s
o
f
ce
r
tai
n
s
ec
to
r
s
o
f
t
h
e
s
to
c
k
m
ar
k
et
.
Fo
r
ex
a
m
p
le,
R
T
SI2
in
d
ex
s
h
o
w
s
th
e
p
r
ices
d
y
n
a
m
ics
o
f
le
s
s
liq
u
id
s
to
ck
o
f
th
e
2
n
d
tier
,
an
d
th
e
in
d
ex
MI
C
E
X1
0
s
h
o
w
s
p
r
ice
m
o
v
e
m
en
ts
T
1
0
-
o
f
th
e
m
o
s
t liq
u
id
s
h
ar
es.
Ma
r
k
et
v
o
latilit
y
w
a
s
d
eter
m
i
n
ed
b
ased
o
n
t
h
e
a
m
p
lit
u
d
e
o
f
t
h
e
p
r
ice
f
lu
c
tu
atio
n
s
f
o
r
t
h
e
s
elec
ted
p
er
io
d
o
f
ti
m
e.
Ma
r
k
e
t
v
o
lat
i
lit
y
i
s
i
n
d
icato
r
s
h
o
w
s
h
o
w
m
u
c
h
th
e
p
r
ice
j
u
m
p
in
g
a
n
d
h
o
w
ac
ti
v
e
o
f
th
e
s
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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s
ec
u
r
itie
s
tr
ad
in
g
[
1
8
]
.
T
h
e
v
o
latilit
y
ca
lc
u
late
s
i
n
t
h
e
m
ar
k
et
b
y
u
s
in
g
t
h
e
A
T
R
i
n
d
icato
r
,
it
is
f
o
r
s
elec
te
d
ti
m
e
o
f
VI
X
v
o
latilit
y
in
d
e
x
a
n
d
it
s
R
u
s
s
ia
n
a
n
alo
g
u
e
R
T
SVX.
T
h
e
s
to
c
k
m
ar
k
et
ca
p
itali
za
t
io
n
i
s
t
h
e
a
m
o
u
n
t
o
f
ca
p
ital,
e
x
p
r
ess
ed
i
n
t
h
e
f
o
r
m
o
f
i
n
co
m
e
s
ec
u
r
ities
.
M
ar
k
et
ca
p
italizatio
n
i
s
t
h
e
to
t
al
ca
p
italizatio
n
o
f
r
ev
en
u
es
g
en
er
ated
b
y
i
n
d
iv
id
u
al
m
ar
k
etab
le
s
ec
u
r
ities
[
1
9
]
.
3.
T
H
E
P
R
E
DIC
T
I
O
N
A
NAL
YSI
S F
O
R
S
T
O
CK
M
ARK
E
T
I
N
RUS
SI
A
I
n
[
2
0
]
it’
s
p
r
ese
n
ted
t
h
e
a
n
a
l
y
s
i
s
o
f
t
h
e
s
to
c
k
m
ar
k
et
in
d
i
ce
s
an
d
atte
m
p
ted
to
u
s
e
th
e
tech
n
ical
p
r
ed
ictio
n
m
eth
o
d
f
o
r
th
e
p
er
i
o
d
2
0
1
4
–
2
0
1
6
,
th
e
p
r
ed
ictio
n
r
esu
lt
s
w
er
e
in
ter
est
in
g
.
I
n
[
2
0
]
it’
s
i
m
p
le
m
e
n
ted
t
h
e
a
n
al
y
s
i
s
o
f
th
e
s
to
c
k
m
ar
k
et
d
ev
elo
p
m
e
n
t
i
n
t
h
e
p
er
io
d
2
0
05
–
2
0
1
3
.
T
o
co
n
s
tr
u
ct
t
h
e
m
o
d
el,
t
h
e
f
o
llo
w
i
n
g
m
ac
r
o
-
ec
o
n
o
m
ic
f
ac
to
r
s
ar
e
tak
e
n
:
t
h
e
o
il
p
r
ices
g
r
o
w
t
h
r
ate;
t
h
e
g
r
o
w
t
h
r
ate
o
f
n
o
n
-
ca
s
h
m
o
n
e
y
s
u
p
p
l
y
;
th
e
GDP
g
r
o
w
th
r
ate.
T
h
ese
f
ac
to
r
s
ar
e
co
r
r
elate
d
w
it
h
t
h
e
r
esu
lt
in
g
in
d
e
x
is
s
ig
n
i
f
ica
n
tl
y
d
if
f
er
en
t
f
r
o
m
ze
r
o
,
alleg
ed
in
[
2
0
]
.
A
s
a
r
esu
lt
,
in
[
2
0
]
it’
s
d
ev
elo
p
ed
a
th
r
ee
-
f
ac
to
r
m
o
d
el
[
1
4
]
w
it
h
u
s
e
th
e
a
n
al
y
s
is
o
f
r
eg
r
e
s
s
io
n
a
n
d
co
r
r
elatio
n
f
o
r
p
r
e
d
ictio
n
th
e
R
T
S
in
d
ex
r
etu
r
n
s
v
alu
e.
I
f
th
e
m
o
d
el
's
p
ar
am
eter
s
ar
e
d
is
tr
ib
u
ted
r
an
d
o
m
l
y
an
d
th
eir
d
is
tr
ib
u
t
io
n
i
s
s
tatis
t
icall
y
s
tatio
n
ar
y
,
th
e
n
it
ca
n
g
et
a
lin
ea
r
th
r
ee
-
f
ac
to
r
m
o
d
el
o
f
o
b
s
er
v
at
io
n
s
[
2
1
]
.
T
h
r
ee
-
f
ac
to
r
m
o
d
el
p
ar
a
m
eter
s
w
er
e
ca
lc
u
lated
,
t
h
e
y
ield
o
f
t
h
e
R
T
S
in
d
e
x
w
a
s
d
eter
m
i
n
ed
b
y
th
e
f
o
r
m
u
la
y
=
ln
(
R
TS
1/
R
TS
0
)
4,
(
1
)
W
h
er
e
y
-
t
h
e
y
ield
o
f
t
h
e
R
T
S
in
d
ex
;
R
T
S1
,
R
T
S0
-
th
e
last
v
al
u
es
o
f
R
T
S
in
d
ex
t
h
e
cu
r
r
en
t
an
d
th
e
p
r
ev
io
u
s
q
u
ar
ter
r
esp
ec
tiv
el
y
.
T
h
e
o
il p
r
ice
g
r
o
w
t
h
p
ac
e
at
an
an
n
u
al
r
ate
is
d
eter
m
i
n
ed
b
y
th
e
f
o
r
m
u
la
x
1
=
ln
(
P
1
/
P
0
)
4,
(
2
)
W
h
er
e
x
1
-
th
e
o
il
p
r
ice
g
r
o
w
t
h
p
ac
e
o
n
a
n
an
n
u
alize
d
b
asis
;
P
1
,
P
0
-
th
e
clo
s
i
n
g
p
r
ice
o
f
B
r
en
t
cr
u
d
e
o
il (
NYM
E
X)
th
e
cu
r
r
en
t a
n
d
p
r
ev
io
u
s
q
u
ar
ter
r
esp
ec
tiv
e
l
y
.
T
h
e
g
r
o
w
t
h
r
ate
o
f
n
o
n
-
ca
s
h
m
o
n
e
y
s
u
p
p
l
y
at
an
a
n
n
u
al
r
at
e
is
ca
lcu
lated
b
y
t
h
e
f
o
r
m
u
la
x
2
=
ln
(
DM
1
/
DM
0
)
4,
(
3
)
W
h
er
e
x
3
-
G
DP
g
r
o
w
t
h
at
a
n
a
n
n
u
al
r
ate,
T
GDP
1
,
T
GD
P
0
-
GDP
r
ea
l
g
r
o
w
t
h
in
th
e
c
u
r
r
en
t
a
n
d
p
r
ev
io
u
s
q
u
ar
ter
r
esp
ec
ti
v
el
y
,
as
a
GDP
p
er
ce
n
tag
e
in
1
9
9
5
,
t
y
an
d
t
q
-
t
h
e
n
u
m
b
er
o
f
w
o
r
k
in
g
d
a
y
s
p
er
y
ea
r
an
d
q
u
ar
ter
,
r
esp
ec
tiv
el
y
.
I
n
[
2
0
]
it’
s
ca
r
r
ied
o
u
t
th
ese
s
tu
d
ies
i
n
t
h
e
p
er
io
d
o
f
2
0
0
5
-
2
0
1
3
,
an
ex
p
lan
atio
n
o
f
t
h
e
ex
p
ec
ted
g
r
o
w
t
h
i
n
R
u
s
s
ia
n
f
u
el
a
n
d
en
er
g
y
co
m
p
an
ies
’
r
ev
e
n
u
e,
th
e
R
T
S
in
d
e
x
g
r
o
w
t
h
in
cr
ea
s
es
t
h
e
in
v
es
t
m
e
n
t
ac
tiv
it
y
o
f
in
s
tit
u
tio
n
al
in
v
est
o
r
s
an
d
co
r
p
o
r
atio
n
s
,
th
e
g
r
o
w
th
o
f
th
e
s
to
c
k
m
ar
k
et.
T
h
e
g
r
ap
h
o
f
th
e
ex
p
ec
t
ed
r
etu
r
n
f
o
r
R
T
S
in
d
ex
in
2
0
1
4
-
2
0
1
6
is
s
h
o
w
n
in
F
ig
u
r
e.
1
.
I
n
[
2
0
]
it’
s
ca
r
r
ied
o
u
t
v
er
if
icatio
n
o
f
t
h
e
R
u
s
s
ia
n
s
to
ck
m
ar
k
et
p
r
ed
ictio
n
.
Fig
u
r
e
1
.
T
h
e
ex
p
ec
ted
r
e
tu
r
n
o
f
th
e
R
T
S in
d
e
x
in
2
0
1
4
–
2
0
1
6
B
u
t
n
o
w
,
it
b
ec
a
m
e
o
b
v
io
u
s
in
2
0
1
6
th
at
th
e
p
r
ed
ictio
n
r
esu
lt
is
i
n
co
r
r
ec
t
b
y
u
s
i
n
g
t
h
e
tech
n
ical
an
al
y
s
is
m
et
h
o
d
.
T
h
er
ef
o
r
e,
it
h
as to
b
e
co
n
s
id
er
ed
to
th
e
in
t
ellig
e
n
t a
n
a
l
y
s
is
m
et
h
o
d
s
in
t
h
e
s
to
ck
m
ar
k
et.
4.
T
H
E
P
RO
P
O
SE
D
RE
SE
A
R
CH
M
O
DE
L
S
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
E
I
SS
N:
2
0
8
8
-
8708
Th
e
Dec
is
io
n
-
ma
kin
g
Mo
d
el
f
o
r
th
e
S
to
ck
Ma
r
ke
t u
n
d
er …
(
S
ih
a
m
A
b
d
u
lma
lik
Mo
h
a
mme
d
A
lma
s
a
n
i)
2785
4
.
1
.
Situa
t
io
na
l
M
o
del f
o
r
Ass
es
s
m
ent
t
he
Sto
c
k
M
a
rk
et
Sta
t
e
I
n
[
5
]
it’
s
u
s
ed
th
e
s
it
u
atio
n
al
m
o
d
el
w
it
h
f
u
zz
y
i
n
f
er
en
ce
to
s
tu
d
y
t
h
e
s
to
ck
m
ar
k
e
t
s
tate.
T
h
er
e
ar
e
m
an
y
o
th
er
w
o
r
k
s
[5
-
6]
ar
e
u
s
in
g
t
h
i
s
m
o
d
el
an
d
g
i
v
e
g
o
o
d
r
esu
lt
s
to
s
o
lv
e
th
e
d
i
f
f
er
en
t
p
r
o
b
lem
s
.
A
l
s
o
th
er
e
ar
e
o
th
er
f
a
m
o
u
s
m
e
th
o
d
s
to
co
n
s
tr
u
ct
m
o
d
els
f
o
r
as
s
ess
in
g
t
h
e
cu
r
r
e
n
t
s
tate
o
f
t
h
e
s
to
ck
m
ar
k
et
[5
-
7
]
,
[
1
0
]
.
T
h
e
ass
ess
m
en
t
p
r
o
b
lem
r
e
m
a
in
s
i
m
p
o
r
tan
t,
esp
ec
iall
y
i
n
t
h
e
co
n
d
itio
n
s
o
f
u
n
ce
r
tai
n
t
y
a
n
d
th
e
in
s
tab
ili
t
y
o
f
th
e
s
to
c
k
m
ar
k
et
p
ar
a
m
eter
s
.
T
h
e
ass
ess
m
en
t
p
r
o
b
le
m
o
f
th
e
s
to
ck
m
ar
k
et
s
tate
is
clo
s
el
y
co
n
n
ec
ted
w
it
h
th
e
p
r
ed
ictio
n
p
r
o
b
lem
o
f
ch
an
g
e
s
in
t
h
e
s
to
ck
m
ar
k
et
p
ar
am
eter
s
.
T
h
e
p
r
ed
ictio
n
is
d
o
n
e
at
in
ter
v
al
o
f
ti
m
e,
b
u
t
w
h
e
n
th
e
ti
m
e
in
ter
v
a
l o
f
p
r
ed
ictio
n
is
b
ig
,
t
h
an
th
e
p
r
ed
ictio
n
r
es
u
lt
m
a
y
b
e
less
ac
cu
r
ate.
T
h
e
ex
p
er
ts
k
n
o
w
led
g
e
w
as
ap
p
lied
to
s
o
lv
e
th
e
id
en
ti
f
ic
atio
n
p
r
o
b
le
m
s
o
f
t
h
e
m
ar
k
et
s
tate
a
n
d
p
r
ed
ict
its
p
ar
am
e
ter
s
.
T
h
is
is
d
u
e
to
t
h
e
f
ac
t
t
h
at
t
h
e
r
esu
lt
s
o
f
s
to
ch
a
s
tic
f
o
r
ec
asti
n
g
m
et
h
o
d
s
ar
e
u
n
s
ati
s
f
ac
to
r
y
[
4
]
.
T
h
e
s
itu
a
ti
o
n
al
m
o
d
el
f
o
r
as
s
es
s
m
e
n
t
th
e
s
to
ck
m
ar
k
et
c
u
r
r
en
t
s
tate
is
ap
p
lied
.
I
n
t
h
i
s
m
o
d
el,
t
h
e
e
x
p
er
ts
ar
e
g
i
v
e
n
t
h
e
F
u
zz
y
r
e
f
er
en
ce
s
it
u
atio
n
s
to
d
eter
m
i
n
e
t
h
e
s
to
ck
m
ar
k
et
s
itu
a
tio
n
s
an
d
t
h
eir
co
r
r
esp
o
n
d
in
g
s
o
l
u
tio
n
s
.
I
t
ca
n
b
e
ap
p
lied
a
v
ar
ia
n
t,
w
h
e
n
a
s
ets
o
f
f
u
zz
y
r
ef
er
e
n
ce
s
it
u
atio
n
s
}
~
,
.
.
.
,
~
,
~
{
*
*
2
*
1
*
R
S
S
S
S
is
d
iv
id
ed
in
to
s
u
b
s
ets
*
*
*
*
j
i
j
S
S
,
S
×
S
=
,
i
,
j
=
1
,
n
,
i
j
th
u
s
,
ea
ch
s
u
b
s
et
co
r
r
esp
o
n
d
s
t
o
o
n
e
d
ec
is
io
n
o
f
s
to
ck
m
ar
k
et
s
tate
:
h
1
-
s
tab
le;
h
2
-
tr
a
n
s
itio
n
;
h
3
-
g
r
o
w
th
;
h
4
–
u
n
s
tab
le
a
n
d
h
5
-
s
ta
g
n
atio
n
.
T
h
e
ex
p
er
ts
m
ap
p
ed
ea
ch
f
u
zz
y
r
ef
er
en
ce
s
it
u
atio
n
to
a
p
ar
ticu
lar
s
tate
o
f
th
e
s
to
ck
m
ar
k
et.
T
h
e
ex
p
er
ts
g
iv
e
th
e
li
n
g
u
i
s
ti
c
an
d
f
u
zz
y
v
ar
iab
les
o
n
th
e
b
asic
s
ets
an
d
d
ef
i
n
e
th
e
ch
a
r
a
cter
is
tic
f
ac
to
r
s
p
ar
a
m
eter
s
f
o
r
d
ec
is
io
n
m
a
k
i
n
g
p
r
o
b
lem
.
T
h
e
ch
ar
a
cter
is
tic
f
ac
to
r
s
p
ar
a
m
eter
s
ar
e
m
ea
s
u
r
ed
an
d
th
e
m
ea
s
u
r
e
m
e
n
t
r
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2
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ap
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2
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Sto
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g
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h
4
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n
s
tab
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h
5
–
s
ta
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.
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A
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en
t
tr
a
n
s
a
ctio
n
s
>,
<<
0
,
8
5
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y
L
o
w
>,
<0
,
9
5
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o
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<0
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iu
m
>,
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o
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e
p
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Fo
r
ass
ess
i
n
g
th
e
s
to
c
k
m
ar
k
et
cu
r
r
en
t
s
tate
i
n
th
e
R
u
s
s
ia
n
Fed
er
atio
n
,
th
e
f
iv
e
r
e
f
er
en
ce
s
f
u
zz
y
s
itu
a
tio
n
s
o
f
s
to
ck
m
ar
k
et,
d
ec
is
io
n
-
m
ak
i
n
g
r
u
le
s
o
f
t
h
e
s
to
c
k
m
ar
k
et
s
tate
ar
e
d
eter
m
i
n
ed
in
[
5
]
.
A
cc
o
r
d
in
g
to
th
e
s
it
u
atio
n
a
l
m
o
d
el
̃
=
1
̃
̇
,
th
e
d
ec
is
io
n
w
as
h
1
-
th
e
c
u
r
r
en
t
s
tate
i
s
s
tab
le
an
d
ac
co
r
d
in
g
to
th
e
m
o
d
el
o
f
ca
l
cu
latio
n
o
f
th
e
tr
u
t
h
d
eg
r
ee
o
f
f
u
zz
y
i
n
f
er
e
n
ce
r
u
les
t
h
e
p
r
ed
ictio
n
o
f
th
e
R
T
S
in
d
ex
w
il
l in
cr
ea
s
e.
T
h
e
p
r
e
d
ictio
n
r
esu
lt
s
u
s
in
g
t
h
is
m
o
d
el
ar
e
s
h
o
w
n
in
T
ab
le.
3
.
I
n
T
ab
le
3
th
e
p
r
e
d
ictio
n
f
o
r
R
T
S
in
d
ex
in
0
6
.
2
0
1
4
w
as
i
n
co
r
r
ec
t,
th
e
p
r
e
d
ictio
n
r
esu
lt
w
a
s
a
w
ea
k
g
r
o
w
t
h
,
b
u
t
i
n
f
ac
t,
it
w
a
s
n
o
ted
a
d
r
o
p
.
A
ls
o
,
t
h
e
p
r
ed
ictio
n
f
o
r
R
T
S
i
n
d
ex
in
0
2
.
2
0
1
5
w
as
w
r
o
n
g
.
T
h
e
p
r
ed
ictio
n
r
esu
lt
f
r
o
m
t
h
e
m
o
d
el
w
as
g
r
o
w
t
h
th
e
R
T
S
in
d
ex
,
in
f
ac
t
w
as
t
h
e
d
r
o
p
(
T
a
b
le
3
th
e
h
i
g
h
lig
h
t
li
n
e)
.
T
h
e
r
est
o
f
th
e
p
r
ed
ictio
n
r
es
u
lts
b
y
u
s
i
n
g
t
h
e
p
r
o
p
o
s
ed
m
o
d
el
w
er
e
s
ati
s
f
ac
to
r
y
,
t
h
is
c
o
r
r
esp
o
n
d
s
w
it
h
t
h
e
r
ea
l e
v
en
t
s
in
t
h
e
s
to
c
k
m
ar
k
et
.
C
o
m
p
ar
is
o
n
t
h
e
o
b
tain
ed
r
esu
lts
(
R
T
S
in
d
ex
)
w
it
h
th
e
ac
t
u
al
p
r
o
v
ed
th
at
th
e
d
ev
elo
p
ed
m
o
d
el
f
o
r
p
r
ed
ictio
n
th
e
ch
a
n
g
es
o
f
t
h
e
R
T
S
in
d
ex
h
as
g
i
v
e
n
g
o
o
d
r
esu
lt
s
co
m
p
ar
ed
w
i
th
t
h
e
f
a
m
o
u
s
m
o
d
els
w
it
h
t
h
e
tr
en
d
s
ex
tr
ap
o
latio
n
m
et
h
o
d
s
,
w
h
ic
h
d
o
n
o
t
g
i
v
e
g
o
o
d
r
esu
lt
s
in
co
n
d
itio
n
s
o
f
u
n
c
er
tai
n
t
y
(
m
ar
k
et
v
o
latilit
y
)
[
4
]
.
T
h
e
r
eliab
ilit
y
o
f
th
e
p
r
ed
ictio
n
r
esu
l
ts
w
a
s
ap
p
r
o
x
i
m
atel
y
9
0
% o
f
co
r
r
ec
t r
esu
lts
.
7.
CO
NCLU
SI
O
N
I
n
th
e
ar
ticle,
th
e
u
r
g
en
c
y
o
f
ass
es
s
i
n
g
t
h
e
s
to
ck
m
ar
k
et
cu
r
r
en
t
s
tate
to
p
r
ed
ict
th
e
in
d
ex
R
T
S
o
f
th
e
s
to
ck
m
ar
k
et
i
s
s
h
o
w
ed
.
T
h
e
d
if
f
er
e
n
ce
s
i
n
th
is
s
t
u
d
y
:
First
l
y
,
th
e
s
to
ck
m
ar
k
et
c
u
r
r
en
t
s
tate
is
d
eter
m
i
n
ed
:
s
tab
le;
tr
an
s
ie
n
t;
g
r
o
w
th
;
u
n
s
t
ab
le
an
d
s
ta
g
n
an
t
b
y
u
s
in
g
t
h
e
s
it
u
atio
n
al
an
a
l
y
s
is
m
o
d
el,
t
h
en
p
r
ed
ictio
n
f
o
r
th
e
R
T
S in
d
ex
b
y
u
s
in
g
t
h
e
m
o
d
el
o
f
ca
lcu
latio
n
t
h
e
tr
u
t
h
d
e
g
r
ee
o
f
f
u
zz
y
in
f
er
en
ce
r
u
les.
A
cc
o
r
d
in
g
to
th
e
p
r
o
g
r
a
m
r
esu
lt
s
,
it
ca
n
b
e
co
n
clu
d
ed
th
a
t
th
e
p
r
o
p
o
s
ed
m
o
d
el
an
d
t
h
e
p
r
o
g
r
a
m
allo
w
p
r
ed
ictin
g
t
h
e
R
T
S in
d
e
x
o
f
s
to
c
k
m
ar
k
et
i
n
th
e
co
n
d
it
io
n
o
f
in
co
m
p
lete
s
o
u
r
ce
d
ata.
RE
F
E
R
E
NC
E
S
[1
]
S
.
H.M
.
Ya
z
d
i,
Z.
H.
L
a
sh
k
a
r,
“
T
e
c
h
n
ica
l
a
n
a
ly
sis
o
f
F
o
re
x
b
y
M
A
CD
In
d
ica
to
r,
”
In
tern
a
t
i
o
n
a
l
Jo
u
rn
a
l
o
f
Hu
m
a
n
it
ies
a
n
d
M
a
n
a
g
e
m
e
n
t
S
c
ien
c
e
s (IJHMS
),
v
o
l.
1
(2
),
p
p
.
2
3
2
0
–
4
0
4
4
,
2
0
1
3
.
[2
]
A
.
A
.
A
d
e
b
i
y
i,
A
.
O.
A
d
e
w
u
m
i,
C
.
K.
Ay
o
,
“
S
to
c
k
P
rice
P
re
d
ictio
n
Us
in
g
th
e
A
RIM
A
M
o
d
e
l,
”
UK
S
im
-
A
M
S
S
1
6
th
In
tern
a
ti
o
n
a
l
C
o
n
f
e
re
n
c
e
o
n
Co
m
p
u
ter M
o
d
e
ll
in
g
a
n
d
S
im
u
latio
n
,
Ca
m
b
rid
g
e
IEE
E,
2
0
1
4
,
p
p
.
1
0
6
-
1
1
2
.
[3
]
Y
.
Ye
ti
,
H
.
Ka
p
lan
,
M.
Ja
m
sh
id
i,
“
S
to
c
k
M
a
rk
e
t
P
re
d
icti
o
n
b
y
Us
in
g
A
rti
f
icia
l
N
e
u
ra
l
Ne
t
w
o
rk
,
”
IEE
E
W
o
rld
A
u
to
m
a
ti
o
n
Co
n
g
re
ss
(W
A
C)
Co
n
f
e
re
n
c
e
,
Waik
o
lo
a
,
2
0
1
4
,
p
p
.
7
1
8
–
7
2
2
.
[4
]
S
.
A
.
M
.
A
l
m
a
sa
n
i,
V
.
I.
F
in
a
e
v
,
W
.
A
.
A
Qa
i
d
,
“
Re
se
a
rc
h
o
n
th
e
E
ff
e
c
ti
v
e
n
e
ss
o
f
P
re
d
ictio
n
M
o
d
e
ls
in
th
e
S
e
c
u
rit
ies
M
a
rk
e
t
,
”
A
RP
N Jo
u
rn
a
l
o
f
En
g
in
e
e
rin
g
a
n
d
A
p
p
li
e
d
S
c
ien
c
e
s,
v
o
l.
1
0
(
2
2
)
,
p
p
.
1
0
6
5
1
–
1
0
6
5
8
,
2
0
1
5
.
[5
]
S
.
A
.
M
.
A
l
m
a
s
a
n
i,
V.I.
F
in
a
e
v
,
W
.
A
.
A
Qa
id
,
A
.
V
.
T
y
c
h
in
sk
y
,
“
A
s
se
ss
m
e
n
t
th
e
Cu
rre
n
t
S
tate
o
f
th
e
S
t
o
c
k
M
a
rk
e
t
Un
d
e
r
Un
c
e
rtain
ty
,
”
Jo
u
rn
a
l
o
f
Th
e
o
re
ti
c
a
l
a
n
d
A
p
p
li
e
d
I
n
f
o
rm
a
ti
o
n
T
e
c
h
n
o
lo
g
y
,
v
o
l.
8
9
(
1
),
p
p
.
1
8
2
-
1
8
9
,
2
0
1
6
.
[6
]
V
.
I.
F
i
n
a
e
v
,
W
.
A
.
A
Q
a
id
,
“
De
c
is
io
n
-
m
a
k
in
g
S
trate
g
ien
W
it
h
in
th
e
F
o
rm
a
t
o
f
In
it
ial
In
f
o
r
m
a
ti
o
n
in
th
e
P
r
o
b
lem
s
o
f
In
v
e
st
m
e
n
ts,
”
W
o
rld
A
p
p
li
e
d
S
c
i
e
n
c
e
s Jo
u
rn
a
l,
v
o
l.
2
6
(
1
1
)
,
p
p
.
1
4
4
4
–
1
4
5
0
,
2
0
1
3
.
[7
]
L
.
A
Zad
e
h
,
“
F
u
z
z
y
se
ts
a
n
d
th
e
ir
a
p
p
li
c
a
ti
o
n
to
p
a
tt
e
rn
c
las
sif
ica
ti
o
n
a
n
d
c
lu
ste
rin
g
a
n
a
ly
sis,”
P
u
b
l
ish
e
d
in
:
B
o
o
k
:
F
u
z
z
y
s
e
ts,
f
u
z
z
y
lo
g
ic,
a
n
d
f
u
z
z
y
s
y
ste
m
s.
W
o
rld
S
c
ien
ti
f
ic
P
u
b
l
ish
in
g
Co
,
In
c
.
Riv
e
r
Ed
g
e
,
NJ
,
USA
,
1
9
9
6
,
p
p
.
3
5
5
–
3
9
3
.
[8
]
S
ri
A
n
d
a
y
a
n
i,
S
ri
Ha
rtati,
Re
tan
t
y
o
W
a
rd
o
y
o
,
Dje
m
a
ri
M
a
rd
a
p
i,
“
De
c
isio
n
-
M
a
k
in
g
M
o
d
e
l
f
o
r
S
t
u
d
e
n
t
A
ss
e
ss
m
e
n
t
b
y
Un
i
fy
in
g
Nu
m
e
rica
l
a
n
d
L
in
g
u
isti
c
Da
ta,” In
tern
a
ti
o
n
a
l
Jo
u
rn
a
l
o
f
El
e
c
tri
c
a
l
a
n
d
Co
m
p
u
ter E
n
g
in
e
e
rin
g
(IJECE),
V
o
l
.
7
(1
),
p
p
:
3
6
3
–
3
7
3
,
2
0
1
7
.
[9
]
W
i
w
ien
Ha
d
ik
u
rn
iaw
a
ti
,
Kh
a
b
ib
M
u
st
o
f
a
,
“
M
u
lt
icriteria
G
ro
u
p
De
c
isio
n
M
a
k
in
g
Us
in
g
F
u
z
z
y
A
p
p
ro
a
c
h
f
o
r
Ev
a
lu
a
ti
n
g
Crit
e
ria o
f
El
e
c
tri
c
ian
,
”
In
tern
a
ti
o
n
a
l
Jo
u
rn
a
l
o
f
El
e
c
tri
c
a
l
a
n
d
Co
m
p
u
ter E
n
g
in
e
e
rin
g
(IJECE)
,
Vo
l.
6
(
5
),
p
p
:
2
4
6
2
–
2
4
6
9
,
2
0
1
6
.
[1
0
]
A
.
N.
Bo
riso
v
,
A
.
V
.
A
le
k
se
e
v
,
O.A
.
Kru
m
b
e
rg
a
n
d
e
tc,
“
De
c
is
io
n
-
m
a
k
in
g
M
o
d
e
ls
o
n
t
h
e
b
a
si
s
o
f
a
li
n
g
u
isti
c
v
a
riab
le,” T
h
re
sh
in
g
b
a
rn
:
Zi
n
a
tn
e
,
1
9
8
2
.
p
p
.
2
5
6
.
(I
n
Ru
ss
ian
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
J
E
C
E
Vo
l.
7
,
No
.
5
,
Octo
b
er
2
0
1
7
:
2
7
8
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